Senior Software Engineer, ML Products

{
  "content_hash": "afb1afd1313e4fa65a443a8c45383d48ac6a54d2a14b104cd4089780c35c4240",
  "source_hash": "a469f45e4943feafe81310775bf8bf89ab1e90bdef8b5648d868d82581c8fd4d",
  "last_changed_at": "2026-05-29T07:00:54.040Z",
  "active_status": "active"
}

{
  "language": "en",
  "location": {
    "raw": "Austin, TX",
    "city": "Austin",
    "region": "TX",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.9
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T07:56:09.680Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Austin, TX",
      "city": "Austin",
      "region": "TX",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": "on_site",
  "salary_currency": null
}

{}

{
  "lists": [
    {
      "text": "What You'll Do ",
      "content": "<div>\n\n<li>Design, build, and maintain scalable ML products and infrastructure using Python, Postgres, and Elasticsearch.</li>\n<li>Lead sprints, conduct rigorous code reviews, and set the \"gold standard\" for engineering practices across the organization.</li>\n<li>Actively mentor junior and mid-level engineers, fostering a culture of technical excellence and professional growth.</li>\n<li>Partner closely with other engineers, product managers, data scientists, data engineers, and product engineers to ensure the successful delivery of strategic and roadmap initiatives.</li>\n<li>Independently and with relatively little oversight, own systems throughout the software development lifecycle, from design to development, deployment and monitoring.</li>\n<li>Maintain and improve performance of existing systems and processes while balancing maintainability, observability and readability.</li>\n<li>Demonstrate a deep sense of ownership by developing a thorough understanding of a domain. At the same time, you must be able to explain the behavior of and contribute to code bases that may be outside your domain.</li>\n<li>Proactively propose solutions to gaps or risks in process, technology, software design and architecture</li>\n<li>Provide rigorous and detailed code reviews that uphold team standards, testing and software design best practices.</li>\n<li>Foster a culture of constant improvement and growth, engineering excellence, humility, positivity and curiosity. Take a lead role in making our two days in the office productive and engaging, fostering face-to-face mentorship and collaborative whiteboarding sessions.</li>\n<li>In partnership with other leaders, establish best practices across the organization and drive the organization’s standards within the team, leading by example.</li>\n\n<div>\n<p><strong>Qualities That Enable Success in This Role:</strong></p>\n\n<li>You are a self-starter who can deliver projects independently, yet you also thrive in collaborative environments. You recognize the value of diverse perspectives in developing optimal solutions and consistently demonstrate a willingness to support colleagues as a strong team player.</li>\n<li>You approach software engineering as a craft, balancing the pursuit of clean, maintainable code with the demands of a fast-moving, dynamic business environment. You collaborate effectively with product managers and leadership to choose development paths that minimize technical debt while ensuring the timely delivery of high-quality products. While you have a strong drive for innovation, you also recognize the critical need to stabilize and harden existing products and services.</li>\n<li>You find genuine joy in helping others level up their skills and navigate their career paths. You view peer reviews as a powerful tool for technical mentorship and can provide feedback in a constructive manner.</li>\n<li>You are able to translate ambiguous and amorphous ideas or problems into concrete projects or initiatives while getting buy-in from engineering, data science, data engineering or product management partners.</li>\n<li>You believe that while remote work is functional, in-person collaboration is where the \"magic\" happens. You are excited to help shape the energy of our physical workspace.</li>\n<li>You take initiative to go beyond current responsibilities and actively seek new challenges.</li>\n<li>You are passionate about building high impact products.</li>\n\n</div>\n</div>"
    },
    {
      "text": "Qualifications ",
      "content": "<div>\n\n<li>Bachelor’s degree in Computer Science, Engineering, or a related field or equivalent professional experience.&nbsp;</li>\n<li>5+ years of experience with a backend language, object oriented programming and building highly scalable backend services. Deep python experience a plus.</li>\n<li>3+ years of experience with relational and NoSql databases&nbsp;</li>\n<li>2+ years in a lead or senior-level capacity</li>\n<li>2+ years of experience designing maintainable and scalable systems</li>\n<li>Proven expertise in system design with a focus on distributed systems and event-driven architectures</li>\n<li>Experience developing cloud-native dockerized applications in Kubernetes</li>\n<li>Experience working with online experimentation and platforms. Experience with Statsig a plus.</li>\n<li>Strong communication skills with the ability to articulate, diagram and document complex engineering concepts.</li>\n<li>Strong analytical, problem-solving, decision-making, and interpersonal skills.</li>\n<li>Strong project management and organizational skills with experience identifying project milestones to ensure timely project delivery.</li>\n\n</div>"
    },
    {
      "text": "The Perks of Working With Us ",
      "content": "<div>\n\n<li>Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage.</li>\n<li>Invest in your future with our matching 401(k) program.</li>\n<li>Build relationships and find your home at Arrive through our Employee Resource Groups.</li>\n<li>Enjoy office wide engagement activities, team events, happy hours and more!</li>\n<li>Leave the suit and tie at home; our dress code is casual.</li>\n<li>Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown.</li>\n<li>Park your car for free on site!</li>\n<li>Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew.</li>\n<li>Sweat it out with the team at our onsite gym.</li>\n<li>Maximize your wellness with free counseling sessions through our Employee Assistance Program</li>\n<li>Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days.</li>\n<li>Receive 100% paid parental leave when you become a new parent.</li>\n<li>Get paid to work with your friends through our Referral Program!</li>\n<li>Get relocation assistance! If you are not local to the area, we offer relocation packages.</li>\n\n</div>"
    }
  ],
  "country": "US",
  "createdAt": 1778611230640,
  "updatedAt": null,
  "categories": {
    "team": "Machine Learning Engineering",
    "location": "Austin, TX",
    "commitment": "Full-time",
    "department": "Data",
    "allLocations": [
      "Austin, TX"
    ]
  },
  "salaryRange": null,
  "workplaceType": "onsite"
}